To identify the most influential nodes in a social network for a marketing campaign, which SNA method should be applied?

Visualize the network with a force-directed layout

Perform link prediction to infer future connections

Compute centrality measures such as degree and betweenness

Apply community detection algorithms to find clusters

A social media analyst observes that a piece of news spreads rapidly through a network but only within a specific cluster of users, not reaching other clusters. They want to understand why the spread is limited. Which network problem should they investigate?

High degree centrality of hub nodes

Low betweenness centrality of bridge nodes

High density within the cluster

Dell Data Science Optimize

Domain 4Objective 3

Network Problems and SNA Tools DATA-SCIENCE-OPTIMIZE Practice Questions (Page 1)

Part of the Social Network Analysis (SNA) domain, which accounts for 23% of the DATA-SCIENCE-OPTIMIZE exam.

16questions here

4free pages

3concepts

23%of the exam

Questions 1–5

1foundation · easy
To identify the most influential nodes in a social network for a marketing campaign, which SNA method should be applied?
Select an answer first
2foundation · easy
Which network problem in social network analysis is best described as the task of partitioning a network into groups of nodes that are more densely connected internally than to the rest of the network?
Select an answer first
3application · medium
A social media analyst observes that a piece of news spreads rapidly through a network but only within a specific cluster of users, not reaching other clusters. They want to understand why the spread is limited. Which network problem should they investigate?
Select an answer first
4application · medium
A research team is studying the spread of misinformation on a large social network with billions of edges. They need to compute influence propagation metrics and identify key spreaders, but they have access to a distributed computing cluster. Which tool is most appropriate?
Select an answer first
5application · medium
A data scientist needs to analyze a network of 10,000 nodes and 50,000 edges to find the most central nodes and visualize the network. They are comfortable with Python and need to integrate the analysis into an existing data pipeline. Which tool is the best choice?
Select an answer first

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Network Problems and SNA Tools DATA-SCIENCE-OPTIMIZE Practice Questions (Page 1)

Questions 1–5

To identify the most influential nodes in a social network for a marketing campaign, which SNA method should be applied?

Which network problem in social network analysis is best described as the task of partitioning a network into groups of nodes that are more densely connected internally than to the rest of the network?

A social media analyst observes that a piece of news spreads rapidly through a network but only within a specific cluster of users, not reaching other clusters. They want to understand why the spread is limited. Which network problem should they investigate?

A research team is studying the spread of misinformation on a large social network with billions of edges. They need to compute influence propagation metrics and identify key spreaders, but they have access to a distributed computing cluster. Which tool is most appropriate?

A data scientist needs to analyze a network of 10,000 nodes and 50,000 edges to find the most central nodes and visualize the network. They are comfortable with Python and need to integrate the analysis into an existing data pipeline. Which tool is the best choice?

Keep studying — Social Network Analysis (SNA)